Objective
The aim of realistic digital imaging is the creation of high quality imagery, which faithfully represents the physical
environment. The ultimate goal is to create images, which are perceptually indistinguishable from a real scene. The
RealVision network brings together leading universities, centers focused on industrial development and companies in
Multimedia, Optics, Visual Communication, Visual Computing, Computer Graphics and Human Vision research across
Europe, with the aim of training a new generation of scientists, technologists, and entrepreneurs that will move Europe into a
leading role in innovative hyper-realistic imaging technologies. Current imaging technologies capture only a fraction of visual
information that the human eye can see. The colours and dynamic range are inadequate for most real-world scenes and not
all depth cues required for natural 3D vision are captured. This limits the realism of the experience and has hampered the
introduction of 3D technology. Advancement in imaging technologies makes it possible to circumvent these bottlenecks in
visual systems. As a result, new visual signal-processing areas have emerged such as light fields, ultra-high definition,
highframe
rate and high dynamic range imaging. The novel combinations of those technologies can facilitate a hyper-realistic
visual experience. This will without doubt be the future frontier for new imaging systems. However there are several
technological barriers that need to be overcome as well as challenges in what are the best solutions perceptually. The goal
of this network is to combine expertise from several disciplines as engineering, computer science, physics, vision science
and psychology – usually disconnected – and train ESRs to be capable of working with all stages and aspects of visual
processing to overcome existing interdisciplinary and intersectorial barriers to efficiently develop truly perceptually better
visual imaging systems.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Programme(s)
Coordinator
2800 Kongens Lyngby
Denmark
See on map
Participants (10)
7600 Struer
See on map
2605 Brondby
See on map
44000 Nantes
See on map
75794 Paris
See on map
92100 Boulogne Billancourt
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
CB2 1TN Cambridge
See on map
LL57 2DG Bangor
See on map
OX1 2JD Oxford
See on map
80539 Munchen
See on map
80686 Munchen
See on map
Partners (11)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
80799 Munchen
See on map
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
8500 Kortrijk
See on map
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
W1A 1AA London
See on map
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
94607 Berkeley
See on map
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
L8S 4L8 Hamilton
See on map
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Frederiksberg
See on map
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Cambridge
See on map
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
94305 2004 Stanford
See on map
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Grenoble
See on map
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
92130 ISSY LES MOULINEAUX
See on map
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
2730 Herlev
See on map